






"""simple docstring"""


import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict




@dataclass
class 						__UpperCamelCase     (     UpperCamelCase						):
					lowercase_    :				Tuple      =  ComputeEnvironment.AMAZON_SAGEMAKER
					lowercase_    :				List[Any]      =  True
					lowercase_    :				Optional[int]      =  """ml.p3.2xlarge"""
					lowercase_    :				Tuple      =  """accelerate_sagemaker_execution_role"""
					lowercase_    :				Tuple      =  """hf-sm"""
					lowercase_    :				str      =  """us-east-1"""
					lowercase_    :				int      =  1
					lowercase_    :				Dict      =  """accelerate-sagemaker-1"""
					lowercase_    :				int      =  """1.6"""
					lowercase_    :				List[str]      =  """4.4"""
					lowercase_    :				Dict      =  """train.py"""
					lowercase_    :				List[Any]      =  [
					    """--model_name_or_path""",
					    """bert""",
					    """--do_train""",
					    """False""",
					    """--epochs""",
					    """3""",
					    """--learning_rate""",
					    """5e-5""",
					    """--max_steps""",
					    """50.5""",
					]
					lowercase_    :				str      =  [
					    """--model_name_or_path""",
					    """bert""",
					    """--do_train""",
					    """--do_test""",
					    """False""",
					    """--do_predict""",
					    """--epochs""",
					    """3""",
					    """--learning_rate""",
					    """5e-5""",
					    """--max_steps""",
					    """50.5""",
					]




class 						__UpperCamelCase     (     unittest.TestCase						):
					def        UpperCAmelCase__ (							self							:	int   )	->       Optional[Any]:
											# If no defaults are changed, `to_kwargs` returns an empty dict.
											lowerCAmelCase   :Optional[int]						=			_convert_nargs_to_dict(MockLaunchConfig.success_training_script_args   )
											assert isinstance(converted_args['model_name_or_path']     , UpperCAmelCase   )
											assert isinstance(converted_args['do_train']     , UpperCAmelCase   )
											assert isinstance(converted_args['epochs']     , UpperCAmelCase   )
											assert isinstance(converted_args['learning_rate']     , UpperCAmelCase   )
											assert isinstance(converted_args['max_steps']     , UpperCAmelCase   )

											with pytest.raises(UpperCAmelCase   ):
																	_convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args   )







"""simple docstring"""


import itertools
import math


def        UpperCAmelCase      (					a__ ):





						'''simple docstring'''






						if 1 < number < 4:
												# 2 and 3 are primes
												return True
						elif number < 2 or number % 2 == 0 or number % 3 == 0:
												# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
												return False

						# All primes number are in format of 6k +/- 1
						for i in range(5     ,      int(math.sqrt(a__ ) + 1 )     ,      6 ):
												if number % i == 0 or number % (i + 2) == 0:
																		return False
						return True


def        UpperCAmelCase      (					):





						'''simple docstring'''






						lowerCAmelCase   :str						=			2
						while True:
												if is_prime(a__ ):
																		yield num
												num += 1


def        UpperCAmelCase      (					a__ = 1_00_01 ):





						'''simple docstring'''






						return next(itertools.islice(prime_generator()     ,      nth - 1     ,      a__ ) )


if __name__ == "__main__":
		print(F"""{solution() = }""")